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A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer
Epithelial‐mesenchymal transition (EMT), a biological process involving the transformation of epithelial cells into mesenchymal cells, promotes tumour initiation and metastasis. The aim of this study was to construct an EMT molecular signature for predicting colorectal cancer (CRC) prognosis and eva...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034457/ https://www.ncbi.nlm.nih.gov/pubmed/33660944 http://dx.doi.org/10.1111/jcmm.16387 |
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author | Shan, Zezhi Wu, Wen Yan, Xuebing Yang, Yongzhi Luo, Dakui Liu, Qi Li, Xinxiang Goel, Ajay Ma, Yanlei |
author_facet | Shan, Zezhi Wu, Wen Yan, Xuebing Yang, Yongzhi Luo, Dakui Liu, Qi Li, Xinxiang Goel, Ajay Ma, Yanlei |
author_sort | Shan, Zezhi |
collection | PubMed |
description | Epithelial‐mesenchymal transition (EMT), a biological process involving the transformation of epithelial cells into mesenchymal cells, promotes tumour initiation and metastasis. The aim of this study was to construct an EMT molecular signature for predicting colorectal cancer (CRC) prognosis and evaluate the efficacy of the model. The risk scoring system, constructed by log‐rank test and multivariate Cox regression analysis according to EMT‐related gene expression in CRC patients from TCGA database, demonstrated the highest correlation with prognosis compared with other parameters in CRC patients. The risk scores were significantly correlated with more lymph node metastasis, distal metastasis and advanced clinical stage of CRC. The model was further successfully validated in two independent external cohorts from GEO database. Furthermore, we developed a nomogram to integrate the EMT signature with the pathological stage of CRC, which was found to perform well in predicting the overall survival. Additionally, this risk scoring model was found to be associated with immune cell infiltration, implying a potential role of EMT involved in immunity regulation in tumour microenvironment. Taken together, our novel EMT molecular model may be useful in identifying high‐risk patients who need an intensive follow‐up and more aggressive therapy, finally contributing to more precise individualized therapeutic strategies. |
format | Online Article Text |
id | pubmed-8034457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80344572021-04-14 A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer Shan, Zezhi Wu, Wen Yan, Xuebing Yang, Yongzhi Luo, Dakui Liu, Qi Li, Xinxiang Goel, Ajay Ma, Yanlei J Cell Mol Med Original Articles Epithelial‐mesenchymal transition (EMT), a biological process involving the transformation of epithelial cells into mesenchymal cells, promotes tumour initiation and metastasis. The aim of this study was to construct an EMT molecular signature for predicting colorectal cancer (CRC) prognosis and evaluate the efficacy of the model. The risk scoring system, constructed by log‐rank test and multivariate Cox regression analysis according to EMT‐related gene expression in CRC patients from TCGA database, demonstrated the highest correlation with prognosis compared with other parameters in CRC patients. The risk scores were significantly correlated with more lymph node metastasis, distal metastasis and advanced clinical stage of CRC. The model was further successfully validated in two independent external cohorts from GEO database. Furthermore, we developed a nomogram to integrate the EMT signature with the pathological stage of CRC, which was found to perform well in predicting the overall survival. Additionally, this risk scoring model was found to be associated with immune cell infiltration, implying a potential role of EMT involved in immunity regulation in tumour microenvironment. Taken together, our novel EMT molecular model may be useful in identifying high‐risk patients who need an intensive follow‐up and more aggressive therapy, finally contributing to more precise individualized therapeutic strategies. John Wiley and Sons Inc. 2021-03-04 2021-04 /pmc/articles/PMC8034457/ /pubmed/33660944 http://dx.doi.org/10.1111/jcmm.16387 Text en © 2021 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Shan, Zezhi Wu, Wen Yan, Xuebing Yang, Yongzhi Luo, Dakui Liu, Qi Li, Xinxiang Goel, Ajay Ma, Yanlei A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer |
title | A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer |
title_full | A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer |
title_fullStr | A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer |
title_full_unstemmed | A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer |
title_short | A novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer |
title_sort | novel epithelial‐mesenchymal transition molecular signature predicts the oncological outcomes in colorectal cancer |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8034457/ https://www.ncbi.nlm.nih.gov/pubmed/33660944 http://dx.doi.org/10.1111/jcmm.16387 |
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